Mobile price range prediction- Supervised machine learning classification problem

Hello guys. This is my 3rd capstone project which is based on supervised machine learning classification problem. The name of the project is Mobile price range prediction. Here we will be classifying the mobile price range based on different mobile features such as RAM, camera, battery etc. There are four classed in the data 0-low price, 1- medium price, 2- high price and 3- very high price. we have mobile data, to predict the price range first we did some data cleaning, outlier detection, found correlation between dependent and independent variables. Later we implemented few classification algorithms to predict the price range. To know more about my project you can visit my GitHub profile- https://github.com/ask-kawade/Mobile-Price-Range-Prediction--Classification-Problem Please do subscribe to my YouTube channel if you like my project presentation video. If you want to do a Full Stack Data Science Course From Almabetter. Click on the below link and get Rs.1000 off on the course fees. So enroll yourself immediately. https://grow.almabetter.com/auth/signup?referralCode=ZGGLCD Thank you.!